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Name: Soumendu Kumar Ghosh
Type: User
Company: Intel Corporation
Bio: Deep Learning Hardware Engineer (Intel), PhD (Purdue University)
Location: Hillsboro, OR
Name: Soumendu Kumar Ghosh
Type: User
Company: Intel Corporation
Bio: Deep Learning Hardware Engineer (Intel), PhD (Purdue University)
Location: Hillsboro, OR
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
A curated list of neural network pruning resources.
This repository is for all homeworks and project under the course BME 595: Deep Learning in Purdue University
Digital Design with Chisel
Chisel examples and code snippets
Darknet with NNPACK
Benchmarking Deep Learning operations on different hardware
Deep Learning Examples
[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
End-to-End Object Detection with Transformers
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Collection of recent methods on DNN compression and acceleration
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Faster R-CNN for Open Images Dataset by Keras
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Paper and code for Gradient Descent: The Ultimate Optimizer
Testing github
A teeny tiny set of ImageNet-like images for testing pipelines
OpenMMLab Computer Vision Foundation
OpenMMLab Detection Toolbox and Benchmark
Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
This repository aims to assist those who want to run neural network models in a raspberry pi environment using the Pytorch framework. Learn more about performing object detection on raspberry pi in our post here: https://bit.ly/2LZZsJz
Raspberry Pi 4 64-bit OS image with deep learning examples
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.